Characterization of motion patterns by a spatio-temporal saliency descriptor in cardiac cine MRI

Autor: Angélica Atehortúa, Eduardo Romero, Mireille Garreau
Přispěvatelé: Jonchère, Laurent, Gestes Médico-Chirurgicaux Assistés par Ordinateur - - CAMI2011 - ANR-11-LABX-0004 - LABX - VALID, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universidad Nacional de Colombia [Bogotà] (UNAL), This work was supported by Colciencias-Colombia, Grant No. 647 (2015 call for National PhD studies), and Région Bretagne in the framework of the Investissement d’Avenir Program through Labex CAMI (ANR-11-LABX-0004)., ANR-11-LABX-0004,CAMI,Gestes Médico-Chirurgicaux Assistés par Ordinateur(2011)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, 2022, 218, pp.106714. ⟨10.1016/j.cmpb.2022.106714⟩
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2022.106714
Popis: International audience; BACKGROUND AND OBJECTIVE: Abnormalities of the heart motion reveal the presence of a disease. However, a quantitative interpretation of the motion is still a challenge due to the complex dynamics of the heart. This work proposes a quantitative characterization of regional cardiac motion patterns in cine magnetic resonance imaging (MRI) by a novel spatio-temporal saliency descriptor. METHOD: The strategy starts by dividing the cardiac sequence into a progression of scales which are in due turn mapped to a feature space of regional orientation changes, mimicking the multi-resolution decomposition of oriented primitive changes of visual systems. These changes are estimated as the difference between a particular time and the rest of the sequence. This decomposition is then temporarily and regionally integrated for a particular orientation and then for the set of different orientations. A final spatio-temporal 4D saliency map is obtained as the summation of the previously integrated information for the available scales. The saliency dispersion of this map was computed in standard cardiac locations as a measure of the regional motion pattern and was applied to discriminate control and hypertrophic cardiomyopathy (HCM) subjects during the diastolic phase. RESULTS: Salient motion patterns were estimated from an experimental set, which consisted of 3D sequences acquired by MRI from 108 subjects (33 control, 35 HCM, 20 dilated cardiomyopathy (DCM), and 20 myocardial infarction (MINF) from heterogeneous datasets). HCM and control subjects were classified by an SVM that learned the salient motion patterns estimated from the presented strategy, by achieving a 94% AUC. In addition, statistical differences (test t-student, p
Databáze: OpenAIRE
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